Multi-exposure image fusion method based on feature distribution weight of multi-exposure image
US11763432B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2022 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | May 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20221
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a multi-exposure image fusion (MEF) method based on a feature distribution weight of a multi-exposure image, including: performing color space transformation (CST) on an image, determining a luminance distribution weight of the image, determining an exposure distribution weight of the image, determining a local gradient weight of the image, determining a final weight, and determining a fused image. The present disclosure combines the luminance distribution weight of the image, the exposure distribution weight of the image and the local gradient weight of the image to obtain the final weight, and fuses the input image and the weight with the existing pyramid-based multi-resolution fusion method to obtain the fused image, thereby solving the technical problem that an existing MEF method does not consider the overall feature distribution of the multi-exposure image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.